Overall its a good course but a very basic one. You get to know about data scraping and the basic analysis which needs to be done on the datasets. Last two weeks is kind of interesting where the instructor provides more info about the sentiment analysis and the visualization. Good course overall cheers!!

The course gives an overall exposure about the subject. The focus could be tighten into one program, and there could be more readings/videos about the idea how social media data should be analyzed or interpreted. Yet, the course has too much attention to tools (R and Python).

Obviously I learned something from this course, thanks to Dr. Chirag Shah. Unfortunately, there are some parts of this course that needs to be improved, i.e broken link, the mistake in video, and more importantly is how you deliver a structured material. Good luck then.

Tips you into the direction of great resources, but sometimes lacks in the explanations, leaving most code not explained. Not a deal breaker, and a worthy introduction but a more detailed explanation at times would help.

This course provided a good introduction to understanding the fundamentals of data analytics and visualization for social media. I definitely feel like I've learned a lot!

There should be an option that allows you to pass peer assignment reviews if there are no more submitted assignments. Maybe let us review past submissions instead?

The course material should be provided on coursera itself. Instead of having to download a 1.8GB dataset from yelp, the two files could have been shared here.

En general esta muy bien para empezar, aunque, algunos codigos no estan completos, sirve de incentivo para la autodidactica.

Interesting course, could have added a bit more on how to write basic scripts or more ways of social media analytics

This is an inroductory cousre tou

Good.

Well. this course could improve a lot. Some of the videos are bad edited and a few of the exercise files supplied by the instructor didn't work as the example at the video so I had to google a fix for the exercise so I could finish it on time.

A good, basic introduction to Social Media Data Analytics

This course did not go into the depth I had expected

Good overview, could be more robust and thorough!

It can be more exhaustive..

Was a bit disappointed with this course. It does provide a very superficial overview of the topic, but I would have preferred just a bit deeper look at how to apply the lessons in everyday situations.

The main issue is that the materials are outdated and many of the scripts provided do not work. Learners will need more than a beginner level understanding of Python and R to get them to function properly. The assignments are all just of the form "copy-paste and get this provided script to run on your computer", and there is no verification or feedback on submissions. There is little to no support for these issues in the course forums, and the low enrolment makes it very difficult to get your assignments graded by peers, and it takes forever to accumulate enough peer assignments to fulfil the "grade your peers" requirement.

This is the worst effort I have ever seen. There are Youtube channels made by teenagers which are more helpful than this course whose only goal is to get money from people who need certificates. It is ridiculously bad - there are no explanations for anything, the teaching is lazy and relies on the fact that the students will simply run the provided code. Well, even that is not possible because the codes do not work most of the time. This puts you in a situation where you know nothing in order to produce results yourself, and you cannot even reproduce the results. I cannot believe that this thing is allowed to exist here. It is shocking. I would not even list all the problems - I don't think there is a single week of the course where you can simply run the provided scripts without googling random programming sites for about 8 hours.

If you simply want to get money from people and not teach them anything, at least don't be lazy...

In addition, the discussion forums are a long list of people asking for their assignments to be graded. Something that I would enjoy as well!!! However, this is another instance of laziness. The "quizzes" are basically asking "did you do it" and then any answer works, while for the more serious part it is expected from students to do the work. This, of course, is not a working model when people work at a different pace, and when there are no people whatsoever...

I don't know how some of the learners rate this course as 5 starts. Because personally experience with the course, I found that the code provided in the practices are not working. This is a big problem. If you want the students to really learn something from this course, at least don't provide a code that doesn't work. I have to stress that Python and programming is not a big issue for me. Yet many users here have to search online to fix the code provided in this course. I would not recommend this course to other students and I really doubt further courses provided by the institution. It is a really bad experience.

I'd like to give just one star rating for this course, as it is very far from what I expected. The course expect students to know Python, to know R, but did not go deep enough to help students understand the insight from social media data. In fact, lots of R task can be replaced with Python, so the course could be designed in a much better way that students do not always switch between two programming environments. This course mainly teaches how to download data with keywords, and how to plot graph, not worth the effort of learning. Therefore, I would not recommend this course to anyone.

Don't pay for certification. It's not worth it. It gives only basic idea how Social Media API's are used and how sentiment analysis and text mining is done in Python and R. You don't get any coding practice nor you will understand what is happening in the code.

Far from being a real course, it need polishing, at this point it looks more like a basic tutorial with a few error, perhaps next versions will be better.

Very little appreciation of the codes provided